adding app.py and requirements.txt

app.py

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+import gradio as gr
+from transformers import pipeline
+
+question_answerer = pipeline("question-answering",
+                             model='kaiku03/Q-andA-bert-finetuned-squad-accelerate',
+                             tokenizer='kaiku03/Q-andA-bert-finetuned-squad-accelerate')
+
+examples = [
+    ["The capital of France is Paris.", "What is the capital of France?"],
+    ["J.K. Rowling is the author of Harry Potter books.", "Who is the author of Harry Potter?"],
+    ["The largest mammal is the blue whale.", "What is the largest mammal?"]
+]
+
+interface = gr.Interface.from_pipeline(question_answerer,
+    title='Question Answering demo with transformers and gradio',
+    theme="peach",
+    description='Enter a context and a related question, and this demo will provide an answer.',
+    article='This demo was trained on the SQuAD dataset using only 5% of the training data and 2% of the validation data for the sake of speed',
+                                       
+    examples=examples).launch()

requirements.txt

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+transformers
+gradio
+torch